Associate Product Manager Intern, Summer 2027
Participation in the internship program requires that you are located in the United States for the duration of the internship program. This internship is intended for students who are entering their penultimate year of a degree program in Product Management, Computer Science, or a related field.
In the “Resume" section, attach an updated CV or resume. No cover letter needed.
In the “Higher education" section, fill out the fields accordingly and select “Now attending” under "Degree status". Then, upload a current or recent unofficial or official transcript in English.
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA; San Francisco, CA, USA; San Bruno, CA, USA.
Minimum qualifications:
- Currently enrolled in a degree program within Product Management, Computer Science, Engineering, Data Science, Mathematics, Statistics, or a related technical field.
- Internship or Teaching Assistant experience in product management, software development, or a similar technical field.
- Experience preparing and delivering technical presentations to an audience through internships, coursework, or extracurriculars.
- Experience leading entrepreneurial efforts or outreach within organizations while building cross-functional relationships.
Preferred qualifications:
- Demonstrated experience applying AI/ML concepts to build products or features through relevant internship, capstone project, or other academic work.
- Experience with methodologies aimed to drive product development and delivery.
- Technical fluency including programming languages, data analysis, business case/modeling, pricing, design.
- Ability to work full-time for 12 weeks outside of university term time and returning to a degree program after completion of the internship.
- Ability to communicate in English fluently to support cross-functional business relationships in the region.
- Excellent problem-solving, organizational, investigative, and critical thinking skills.
About the job
At Google, we put users first. The world is always changing so we need Product Managers who are continuously adapting and excited to work on products that affect people every day.
In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You will break down problems into steps that drive product development.
One of the many reasons Google consistently brings innovative changing products to market is because of the collaborative work done in product management. The team works with creative and prolific engineers, designers, marketers, and more to help design and develop technologies that improve access to the world's information. The team is responsible for guiding products throughout the execution cycle, focusing on analyzing, positioning, packaging, promoting, and tailoring solutions to users.
Google aims to build products that organize the world's information and make it universally accessible to our users. As a Product Manager at Google, you could be working on new technologies, platforms, consumer facing products, and/or enterprise systems. The end goal will be to match you with the team that best aligns with your interests, experience, and where you will have the most impact.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $94000 - $125000 (USD) + 0% bonus target
Learn more about benefits at Google.
Responsibilities
- Understand markets and user requirements.
- Launch products and features, test their performance, and iterate quickly.
- Work collaboratively with Engineering, Marketing, Legal, and UX on technologies.
- Develop innovative solutions to problems by collaborating as needed across regions, product areas, and functions.